Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems
Crispin M. Mutshinda, Andrew J. Irwin, Mikko J. Sillanpää (2020), A Bayesian Framework for Robust Quantitative Trait Locus Mapping and Outlier Detection, The International Journal of Biostatistics, doi: 10.1515/ijb-2019-0038
Get the PDF [Requires login]
CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com
In the austral summer season of December 2017 – February 2018, MIT CBIOMES member Deepa Rao, a graduate student in MIT’s Department of Earth, Atmospheric and Planetary Sciences, participated in the NSF funded CICLOPS cruise to explore cobalamin and iron co-limitation of phytoplankton species in Terra Nova Bay, Antarctica. Continue reading “Antarctic Marine Microbes Need Their Multivitamins”
Look for CBIOMES-flavored eye-candy in a new book celebrating the Simons Foundation’s first 25 years supporting discovery-driven science. Continue reading “Sea Life You Can’t See: CBIOMES contributes to SF anniversary volume”
Study involving members of MIT-CBIOMES finds Earth’s oceans contain just the right amount of iron; adding more may not improve their ability to absorb carbon dioxide. Continue reading “Seeding Oceans With Iron May Not Impact Climate Change”
CBIOMES Investigator Joe Vallino Speaks to the Finding Genius Podcast Team about marine microorganisms, ocean chemistry, and thermodynamics Continue reading “Marine Microbial Musings”
In a new paper, MIT-CBIOMES investigator Stephanie Dutkiewicz and collaborators use the Darwin ecosystem model to develop theories seeking to explain and predict phytoplankton biogeography.
Continue reading “Exploring Phytoplankton Diversity”
Jie Ren, Kai Song, Chao Deng, Nathan A. Ahlgren, Jed A. Fuhrman, Yi Li, Xiaohui Xie, Ryan Poplin & Fengzhu Sun (2020), Identifying viruses from metagenomic data using deep learning, Quantitative Biology, doi: 10.1007/s40484-019-0187-4
Get the PDF [Requires login]
C. Mutshinda, C. Widdicombe, Z.V. Finkel, A.J. Irwin (2019), Bayesian inference to partition determinants of community dynamics from observational time series, Community Ecology, doi: 10.1556/168.2019.20.3.4
Get the PDF [Requires login]
CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com